Abstract
This paper has a twofold result: 1) It develops an analytical solution (closed-form solution) for the minimization of tracking error. 2) It shows that, notwithstanding that minimization is relatively easy to achieve with numerical algorithms, the analytical solution considerably reduces CPU time. Minimization is done over the whole population of stocks issuances or over an arbitrary sample of them; therefore, the solution is applicable within a heuristic context for selecting a definite number of stocks issuances with which to minimize the tracking error.© 2018, Facultad de Contaduría y Administración, Universidad Nacional Autónoma de México. All rights reserved. Publication of the article implies full assignment of property rights (copyright) in Journal of Contaduría y Administración. The publication mreserves the right to total or partial reproduction of the work in other print, electronic or any other alternative means, but always recognizing its responsibility.
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